Recovery-based model predictive control for cascade mitigation under cyber-physical attacks

Rui Ma, Sagnik Basumallik, Sara Eftekharnejad, Fanxin Kong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ever-growing threats of cascading failures due to cyber-attacks pose a significant challenge to power grid security. A wrong system state estimate caused by a false data injection attack could lead to a wrong control actions and take the system into a more insecure operating condition. As a consequence, an attack-resilient failure mitigation strategy needs to be developed to correctly determine control actions to prevent the propagation of cascades. In this paper, a recovery-based model predictive control methodology is developed to eliminate power system component violations following coordinated cyber-physical attacks where physical attacks are masked by targeted false data injection attacks. Specifically, to address the problem of wrong system state estimation with compromised data, a developed methodology recovers the incorrect states from historical data rather than utilizing the tampered data, and thus allowing control centers to identify proper control actions. Additionally, instead of using a one-step method to optimize control actions, the recovery-based model predictive control methodology scheme incorporates the effect of controls over a finite time horizon and the attack detection delay to make appropriate control decisions. Case studies, performed on IEEE 30-bus and Illinois 200-bus systems, show that the developed recovery-based model predictive control methodology scheme is robust to coordinated attacks and efficient in mitigating cascades.

Original languageEnglish (US)
Title of host publication2020 IEEE Texas Power and Energy Conference, TPEC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728144368
DOIs
StatePublished - Feb 2020
Event2020 IEEE Texas Power and Energy Conference, TPEC 2020 - College Station, United States
Duration: Feb 6 2020Feb 7 2020

Publication series

Name2020 IEEE Texas Power and Energy Conference, TPEC 2020

Conference

Conference2020 IEEE Texas Power and Energy Conference, TPEC 2020
CountryUnited States
CityCollege Station
Period2/6/202/7/20

Keywords

  • Cascading failure mitigation
  • Cyber-physical attack
  • Model predictive control

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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    Ma, R., Basumallik, S., Eftekharnejad, S., & Kong, F. (2020). Recovery-based model predictive control for cascade mitigation under cyber-physical attacks. In 2020 IEEE Texas Power and Energy Conference, TPEC 2020 [9042584] (2020 IEEE Texas Power and Energy Conference, TPEC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TPEC48276.2020.9042584